H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 32 Citations 6,772 226 World Ranking 7271 National Ranking 3420

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Programming language
  • Software

Allen D. Malony mainly investigates Programming language, Software, Visualization, Parallel computing and Distributed computing. When carried out as part of a general Programming language research project, his work on Source code, Directive and Profiling is frequently linked to work in Template and Performance tool, therefore connecting diverse disciplines of study. His studies in Profiling integrate themes in fields like Real-time computing and Kernel.

His Software research incorporates elements of Scalability, File system, Focus and Interoperability. His work carried out in the field of Parallel computing brings together such families of science as Data mining and Knowledge extraction. His Distributed computing research focuses on subjects like Instrumentation, which are linked to Modular design and Complex system.

His most cited work include:

  • The Tau Parallel Performance System (894 citations)
  • A Component Architecture for High-Performance Scientific Computing (208 citations)
  • Score-P: A Joint Performance Measurement Run-Time Infrastructure for Periscope, Scalasca, TAU, and Vampir (186 citations)

What are the main themes of his work throughout his whole career to date?

Allen D. Malony focuses on Parallel computing, Distributed computing, Scalability, Software engineering and Software. His study in Parallel computing is interdisciplinary in nature, drawing from both Compiler and Computation. Allen D. Malony has researched Compiler in several fields, including Programming paradigm and Runtime system.

The various areas that Allen D. Malony examines in his Distributed computing study include Instrumentation, Supercomputer, Scheduling and Component. Scalability is a subfield of Operating system that Allen D. Malony investigates. His Software research incorporates themes from Java, Visualization, Interface and Embedded system.

He most often published in these fields:

  • Parallel computing (21.86%)
  • Distributed computing (17.04%)
  • Scalability (16.08%)

What were the highlights of his more recent work (between 2014-2021)?

  • Parallel computing (21.86%)
  • Scalability (16.08%)
  • Distributed computing (17.04%)

In recent papers he was focusing on the following fields of study:

The scientist’s investigation covers issues in Parallel computing, Scalability, Distributed computing, Software and Software engineering. His Parallel computing study also includes

  • Compiler which connect with Static analysis,
  • Programming paradigm which intersects with area such as Instrumentation. His biological study spans a wide range of topics, including Overhead, Domain decomposition methods and Concurrency.

His Distributed computing study incorporates themes from Scheduling, Analytics and Asynchronous communication. Allen D. Malony focuses mostly in the field of Software, narrowing it down to matters related to Massively parallel and, in some cases, Network performance. His Software engineering research includes elements of Plug-in, System software, Symmetric multiprocessor system and Interoperability.

Between 2014 and 2021, his most popular works were:

  • Scaling Spark on HPC Systems (57 citations)
  • Dynamic power sharing for higher job throughput (43 citations)
  • POW: System-wide Dynamic Reallocation of Limited Power in HPC (30 citations)

In his most recent research, the most cited papers focused on:

  • Operating system
  • Programming language
  • Software

Allen D. Malony mostly deals with Distributed computing, Scalability, Software, Parallel computing and Operating system. In his study, Supercomputer is inextricably linked to Scheduling, which falls within the broad field of Distributed computing. His Scalability research is multidisciplinary, incorporating perspectives in Geometry, Aggregate, Projection and Code.

His Software study combines topics from a wide range of disciplines, such as File system, Massively parallel, Performance engineering, Embedded system and Implementation. His biological study deals with issues like Profiling, which deal with fields such as Visualization. The study incorporates disciplines such as Control flow, Thread and General-purpose computing on graphics processing units in addition to Parallel computing.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

The Tau Parallel Performance System

Sameer S. Shende;Allen D. Malony.
ieee international conference on high performance computing data and analytics (2006)

1430 Citations

A Component Architecture for High-Performance Scientific Computing

Benjamin A. Allan;Robert Armstrong;David E. Bernholdt;Felipe Bertrand.
ieee international conference on high performance computing data and analytics (2006)

314 Citations

Score-P: A Joint Performance Measurement Run-Time Infrastructure for Periscope, Scalasca, TAU, and Vampir

Andreas Knüpfer;Christian Rössel;Dieter an Mey;Scott Biersdorff.
Parallel Tools Workshop (2012)

296 Citations

Traceview: a trace visualization tool

A.D. Malony;D.H. Hammerslag;D.J. Jablonowski.
IEEE Software (1991)

181 Citations

Performance measurement intrusion and perturbation analysis

Allen D. Malony;Daniel A. Reed;Harry A. J. Wijshoff.
IEEE Transactions on Parallel and Distributed Systems (1992)

170 Citations

ParaProf : A Portable, Extensible, and Scalable Tool for Parallel Performance Profile Analysis

Robert Bell;Allen D. Malony;Sameer Shende.
european conference on parallel processing (2003)

168 Citations

PerfExplorer: A Performance Data Mining Framework For Large-Scale Parallel Computing

Kevin A. Huck;Allen D. Malony.
conference on high performance computing (supercomputing) (2005)

156 Citations

Design and Prototype of a Performance Tool Interface for OpenMP

Bernd Mohr;Allen D. Malony;Sameer Shende;Felix Wolf.
The Journal of Supercomputing (2002)

151 Citations

Openmp Shared Memory Parallel Programming

Matthias S. Mueller;Barbara M. Chapman;Bronis R. de Supinski;Allen D. Malony.
(2008)

147 Citations

Portable profiling and tracing for parallel, scientific applications using C++

Sameer Shende;Allen D. Malony;Janice Cuny;Peter Beckman.
measurement and modeling of computer systems (1998)

140 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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